Diagnostics for intoxication from fume events in airplanes
Goal: Development of a blood test which can reliably detect toxicity or contamination of cabin air.
The "aerotoxical syndrom" describes short- and long-term ill-health effects caused by breathing airliner cabin air which was alleged to have been contaminated to toxic levels (exceeding known, parts per million, safe levels) with atomized engine oils or other chemicals. There is a wide variety of symptoms including cardiac arrhythmia, headaches, flu-like symptoms, difficulties walking and numbness.
OakLabs’ contribution (ongoing project):
- genome-wide gene expression profiling in blood samples of a broad trainings population (consisting of three categories)
- selection of multi-marker gene set and classification model
- validation of the potential 200-gene-signature using our proprietary Array-to-Go technology
- diagnostic assay to monitor toxication status
Improvement of accuracy of a multi-marker diagnostic assay using an advanced machine learning
Goal: Significant improvement of sensitivity and specificity of a protein-based diagnostic
- application of the three machine learning algorithms that were most suited for the project; data sets of a training population consisting of 10 protein markers per individual were used
- fine tuning of the most successful algorithm for model building towards increase of accuracy
- prediction of required sample number
- improvement of sensitivity to 82% and specificity to 95%
- reduction of marker set from 10 to 8 proteins reducing the costs of the assay significantly
- reliable prediction of sample number with 4% tolerance